Text Embedding 3 Small
Cost-effective text embedding model by OpenAI yielding 1536-dimensional vectors with elastic dimension truncation for efficient vector database retrieval.
OpenAI
OpenAI
Specifications
Context window, ranked against other embedding models
Proportional scale: 0 to 8.2K tokens.
Benchmarks & Performance Rankings
Empirical intelligence benchmarks and category leaderboard placements for Text Embedding 3 Small.
0%
0%
—ms
p99: —ms
—tok/s
SWE-bench: 0%
Benchmarks
Pricing
Rates are read live
Pricing for text-embedding-3-small is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Text Embedding 3 Small is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.